Data management method and device and electronic equipment

Abstract

The invention relates to a data management method and device and electronic equipment. The method comprises the steps that a data provider receives a data request, the data request is sent to the data provider through a data interaction protocol of a federated learning framework to which the data provider belongs, and the data interaction protocol enables participants of the federated learning framework to obtain original data corresponding to metadata based on the metadata; the data provider determines data to be called by the data request by analyzing the data request, judges whether the data request comprises metadata corresponding to the data to be called, and determines identity information of an initiator of the data request; and in response to the metadata corresponding to the data to be called included in the data request, the data provider judges whether the initiator of the data request obtains the authorization permission for the data to be called or not according to the identity information of the initiator of the data request, and if not, the data request is rejected. In this way, fine management of data use authorization authentication is provided.

Description

Technical field [0001] The present application relates to data security and privacy protection technologies, and specific relates to a data management method, apparatus, and electronic device. Background technique [0002] With the development of artificial intelligence and large data mining analysis, the demand for data is getting bigger and bigger. For example, training artificial intelligence is used to use a large number of training data with appropriate data tags or feature values. High quality data is often derived from the application data generated and accumulated in business activities. However, application data is often dispersed in different organizations and individuals, such as transaction data dispersion in various financial institutions, and medical diagnostic data is dispersed in various medical institutions. The application data in cross-industry cross-domains is often dispersed, such as social attribute data and e-commerce transaction data in the Internet are of...

AI Technical Summary

Problems solved by technology

However, the FATE framework and these basic frameworks lack fine-grained management methods for authorization and authentication of data use, which poses a risk of user privacy leakage

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